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AI coding agents are increasingly integrated into software development workflows. However, most coding agent studies rely on benchmarks similar to SWE-bench, which assume autonomous agents operating in a single trajectory. This assumption does not mirror real-world usage, where developers interactively collaborate with agents. We address this gap by studying human-in-the-loop agent trajectories in the wild, focusing on 7,581 Copilot-authored PRs with publicly accessible session data.
The Model Context Protocol (MCP) standardizes how large language model applications communicate with external tools, but leaves the application side unspecified: unlike traditional dependencies resolved through package managers, developers integrating MCP servers face no conventions for configuration, communication, or human oversight. This ecosystem is also under-researched, with existing work focused on servers rather than the applications consuming them.
[Submitted on 3 Jul 2022 ( v1 ), last revised 29 Jan 2024 (this version, v2)] Title:Characterizing Python Library Migrations Download a PDF of the paper titled Characterizing Python Library Migrations, by Mohayeminul Islam and Ajay Kumar Jha and Ildar Akhmetov and Sarah Nadi Download PDF HTML (experimental) Abstract:Developers heavily rely on Application Programming Interfaces (APIs) from libraries to build their software.
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
